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GTM Engineer (Data & AI)

LeanData

United StatesRemoteJob$120–170K/yrPosted 6mo agoVerified open 3 days ago
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At a glance

Compensation
$120–170K/yr
Location
United StatesRemote
Work Authorization
Not specified

Job overview

LeanData is hiring a GTM Engineer (Data & AI). LeanData seeks a GTM Engineer (Data & AI) to lead the architecture of its autonomous revenue engine, building data and context layers that power AI‑driven GTM automation. The role designs, tests and scales systems that eliminate manual friction, collaborates with GTM VPs, and shapes the future of RevOps, all in a remote setting.

Key focus areas include Architect the GTM Intelligence Foundation, designing and managing a unified data layer that merges structured and unstructured signals, Engineer agentic workflows that blend probabilistic AI reasoning with deterministic logic to automate complex decisions across Marketing, Sales, and CX, and Lead predictive modeling efforts, owning logic and technical setup for scoring and propensity models integrated into the agentic orchestration layer.

Successful candidates bring 5+ Years GTM Systems Experience, 5+ Years RevOps Experience, and 5+ Years Data Engineering Experience. Important skills include GTM Systems, RevOps, Data Engineering, Technical Workflows, Data Warehouses, and API. Preferred (not required): Architect GTM Intelligence Foundation, Lead Predictive Modeling Efforts, Prototype GTM Innovation, and Scale GTM Innovation.

Skills & qualifications

RequiredNice to have

Skills

GTM SystemsRevOpsData EngineeringTechnical WorkflowsData WarehousesAPIMCP ServersAI JudgmentGTM LogicScoringRoutingLifecycle AutomationModern Orchestration PlatformsLLMsEnrichment WaterfallsAgentic WorkflowsStructured Problem-SolvingAutomate Manual ProcessesArchitect GTM Intelligence FoundationLead Predictive Modeling EffortsPrototype GTM InnovationScale GTM Innovation

Qualifications

5+ Years GTM Systems Experience5+ Years RevOps Experience5+ Years Data Engineering ExperienceTechnical Degree or Equivalent Background

Benefits

Paid Time Off
401(k) Match

Full job description

LeanData helps the world’s fastest-growing companies automate, simplify, and accelerate revenue.

We are seeking a GTM Engineer (Data & AI) to be the lead architect of our autonomous revenue engine. This is a critical role focused on building the Data and Context layers that serve as the "brain" for our AI strategy. We aren't just looking for someone to manage tools, we want a builder who can accelerate our agentic GTM automation, where workflows don't just follow rules, but reason through signals to power the entire customer journey.

You will be empowered to use your technical depth to design, test, and scale a system that eliminates manual friction and turns the funnel into a high-velocity machine. This is a highly cross-functional role where you will work directly with GTM VPs to define their growth strategies.

Reporting into the Head of Revenue Operations, you will have a seat at the table with the C-suite to help define the future of RevOps in the GTM tech industry.

This is a remote opportunity.

What you will be doing:

  • Architect the GTM Intelligence Foundation. Design and manage a unified data layer that merges structured (DataLake/APIs/MCPs) and unstructured signals (Calls/Emails/Chats) for agentic reasoning and consumption

  • Engineer Agentic Workflows. Build autonomous systems that sit in the execution path of the funnel, blending probabilistic AI reasoning with deterministic logic to automate complex decisions across Marketing, Sales, and CX

  • Lead our predictive modeling efforts. Own the logic and technical setup for scoring and propensity models ensuring they are integrated into the agentic orchestration layer

  • Prototype and Scale GTM Innovation. Rapidly build and test new AI-native concepts and turn the successful ones into standard operating procedure

Requirements:

  • Engineering-First Mindset. 5+ years in GTM Systems, RevOps, or Data Engineering with a focus on technical workflows. A technical degree or equivalent background is preferred

  • Context Orchestrator. You have built complex data flows across Data Warehouses, APIs, and MCP servers and have hands-on experience building the context layers for AI judgment

  • Track record of shipping GTM logic, like scoring, routing, and lifecycle automation, that measurably moved the needle on pipeline or retention.

  • Hands-on experience with modern orchestration platforms and understand how to orchestrate LLMs, enrichment waterfalls, and agentic workflows.

  • Possess a structured approach to problem-solving and a natural instinct to simplify and automate manual processes rather than adding complexity

Why work at LeanData:

  • LeanData covers employee insurance premiums up to 90%

  • Stock options in LeanData for all full-time employees

  • Flexible PTO

  • 401K plan

You've read the whole posting — now see how you match it.

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